Adjunct Instructor: Learning Technologies

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Learning Technologies role at University of North Texas

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Join to apply for the Adjunct Instructor:
Learning Technologies role at University of North Texas

Title: Adjunct Instructor:
Learning Technologies

Employee Classification: Adjunct Faculty

Campus: University of North Texas

Division: UNT-Provost

Sub Division-Department: UNT-College of Information

Department: UNT-Learning Technologies-133300

Job Location: Denton

Salary: Compensation is competitive and commensurate with the candidate’s qualifications, experience, and discipline, in accordance with university guidelines and available funding.

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Retirement Eligibility: Eligibility based on semesterly assignment, for more information visit (Use the "Apply for this Job" box below)./

About Us - Values Overview

Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and the University of North Texas Health Science Center at Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year.

We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an environment of respect, belonging, and access for all. We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities.

We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team.

Learn more about the UNT System and how we live our values System.edu.

Department Summary

The Department of Learning Technologies focuses on enhancing learning and performance through innovative research, teaching, and service. This includes learning technology, information, language, and computing technologies to advance learning, training, cognitive development, and human performance.



Position Overview

The Department of Learning Technologies seeks qualified individuals for its Adjunct Instructor pool and welcomes applicants on a rolling basis. The specific courses offered can change each semester, and opportunities to teach these courses arise periodically based on the department's teaching requirements.



Minimum Qualifications

Master’s degree with a minimum of 18 graduate credit hours in the concentration of Learning Technologies or closely related field.



Preferred Qualifications

Doctorate in Learning Technologies, Learning Sciences, Instructional Systems Design, or related fields. Preferred: college teaching experience (in-person and online) and experience teaching undergraduate or Master’s level Learning Technologies courses.

Required License/Registration/Certifications

Work Schedule:

varies based on assignment

Driving University Vehicle

No

Security Sensitive

This is a Security Sensitive Position.

Special Instructions

Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted.

Benefits

For information regarding our Benefits, .

EEO Statement

The University of North Texas System is firmly committed to equal opportunity and does not permit -- and takes actions to prevent -- discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking) and retaliation on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, or veteran status in its application,…